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Collecting Macromolecular Crystallographic Data at Synchrotrons Andrew Howard ACA Summer School 12 July 2007

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Page 1: Collecting Macromolecular Crystallographic Data at Synchrotrons Andrew Howard ACA Summer School 12 July 2007

Collecting Macromolecular Crystallographic Data at

Synchrotrons

Andrew HowardACA Summer School12 July 2007

Page 2: Collecting Macromolecular Crystallographic Data at Synchrotrons Andrew Howard ACA Summer School 12 July 2007

Synchrotrons are useful, not just fashionable

• You can do almost any experiment better and faster at a storage ring than in a conventional lab; and there are experiments that you can only do at a storage ring.

Page 3: Collecting Macromolecular Crystallographic Data at Synchrotrons Andrew Howard ACA Summer School 12 July 2007

What we need to think about

• Why synchrotrons help: Factors, parameters

• How they make things harder

• How synchrotron data collection is different from domestic data collection

• How macromolecular crystallography is different from other storage-ring apps

Page 4: Collecting Macromolecular Crystallographic Data at Synchrotrons Andrew Howard ACA Summer School 12 July 2007

How synchrotrons help

• Fluence

• Brilliance

• Tunability

• Collimation

• Resources

• 1013 Xph/s/mm2

• 1017 Xph/s/mm2/mrad2

• E = 12398.0 ± 0.4eV

• FWHM(v) < 100 µm

• Lasers, experts, labs …

Page 5: Collecting Macromolecular Crystallographic Data at Synchrotrons Andrew Howard ACA Summer School 12 July 2007

Some definitions and unitsQuantity Definition Units Value

Flux # photons / Xph/ 1012

unit time sec

Fluence flux / unit area (Xph/sec)/ 1013

mm2

Brilliance fluence/ Xph/sec/ 1017

solid angle* (mm2-mrad2)

Brightness flux/solid angle* Xph/sec/ 1016

mrad2

* Sometimes defined in terms of bandwidth, e.g.brilliance = (fluence/solid angle)/bandwidth

Page 6: Collecting Macromolecular Crystallographic Data at Synchrotrons Andrew Howard ACA Summer School 12 July 2007

Which parameters really matter?

• For most macromolecular crystallographic experiments fluence is the relevant parameter: we want lots of photons entrained upon a small area

• Brilliance matters with very large unit cells where a high divergence is bad

Page 7: Collecting Macromolecular Crystallographic Data at Synchrotrons Andrew Howard ACA Summer School 12 July 2007

What does high fluence do?

• Allows us to get good signal-to-noise from small samples

• Allows us to irradiate segments of larger samples to counteract decay

• Many experiments per day

• Allows us to contemplate experiments we would never consider with lower fluence

Page 8: Collecting Macromolecular Crystallographic Data at Synchrotrons Andrew Howard ACA Summer School 12 July 2007

What does high brilliance do?

• How do we separate spotsif the unit cell length > 500 Å?

– Back up the detector

– Use tiny beams

• Large beam divergence will prevent either of those tools from working

Page 9: Collecting Macromolecular Crystallographic Data at Synchrotrons Andrew Howard ACA Summer School 12 July 2007

Tunability

• Monochromatic experiments:We’re allowed to choose the energy that works best for our experiment

• Optimized-anomalous experiments:We can collect F(h,k,l) and F(-h,-k,-l) at the energy where they’re most different

• Multiwavelength:pick 3-4 energies based on XAS scan and collect diffraction data at all of them

Page 10: Collecting Macromolecular Crystallographic Data at Synchrotrons Andrew Howard ACA Summer School 12 July 2007

What energies are available?

• Depends on the storage ring

• Undulators at big 3rd-generation sources:3-80 KeV

• Protein experiments mostly 5-25 KeV– Below 5: absorption by sample & medium

– Above 25: Edges are ugly, pattern too crowded

• Some beamlines still monochromatic

Page 11: Collecting Macromolecular Crystallographic Data at Synchrotrons Andrew Howard ACA Summer School 12 July 2007

Energy resolution &spectral width

• Energy resolution: how selective we can reproducibly produce a given energy– Typically ~ 0.4 eV at 3rd-Gen sources

– Need: E < [Epeak - Eedge (Se)] ~ 1.4 eV

• Spectral width: how wide the energy output is with the monochromator set to a particular value

Page 12: Collecting Macromolecular Crystallographic Data at Synchrotrons Andrew Howard ACA Summer School 12 July 2007

Collimation

• Everyone collimates. What’s special?

– Beam inherently undivergent

– Facility set up to spend serious money making collimation work right

• Result: we can match the beam size to the crystal or to a desired segment of it

Page 13: Collecting Macromolecular Crystallographic Data at Synchrotrons Andrew Howard ACA Summer School 12 July 2007

ResourcesStorage rings are large facilities with a number

of resources in the vicinity

• Specialized scientific equipment (lasers)

• Smart, innovative people

• Sometimes: well-equipped local labs where you can do specialized sample preparations

Page 14: Collecting Macromolecular Crystallographic Data at Synchrotrons Andrew Howard ACA Summer School 12 July 2007

Why wouldn’t we do this?

• Beamtime is still scarce

• You’re away from your home resources

• Disruption of human schedules

– Travel

– 24-hour to 48-hour nonstop efforts

– Bad food

• Extra paperwork:Safety, facility security, statistics

Page 15: Collecting Macromolecular Crystallographic Data at Synchrotrons Andrew Howard ACA Summer School 12 July 2007

How does synchrotron crystallography differ from lab crystallography?• Time scale very foreshortened

• Multiwavelength means new experimental regimes

• Distinct need for planning and prioritizing experiments

• Robotics: taking hold faster @ beamlines

Page 16: Collecting Macromolecular Crystallographic Data at Synchrotrons Andrew Howard ACA Summer School 12 July 2007

How does macromolecular crystallography differ from other beamline activities?• “Physics and chemistry groups at the beamline

do experiments;crystallographers do data collection”

• Expectation: zero or minimal down-time between users

• Often: well-integrated process from sample mounting through structure determination

Page 17: Collecting Macromolecular Crystallographic Data at Synchrotrons Andrew Howard ACA Summer School 12 July 2007

Where will we collect data?

• SER-CAT: 22-ID

• SBC-CAT: 19-BM

• GM/CA-CAT: 23-ID

• NE-CAT: 8-BM (perhaps)

• DND-CAT: 5-ID

• BioCARS: 14-BM-C

Page 18: Collecting Macromolecular Crystallographic Data at Synchrotrons Andrew Howard ACA Summer School 12 July 2007

Southeast Regional CAT (22)• Established ~2002

• Run as an academic consortium of about 25 universities, mostly in the southeast, with some legislative or provost-level support

• 30% of my salary from there!

Page 19: Collecting Macromolecular Crystallographic Data at Synchrotrons Andrew Howard ACA Summer School 12 July 2007

GM/CA-CAT (23)

• Established around 2004 as a site for NIH GM and Cancer grantees, particularly those working on structural genomics and cancer therapeutics

• First APS facility to build out multiple endstations on an insertion device line that are capable of simultaneous use

Page 20: Collecting Macromolecular Crystallographic Data at Synchrotrons Andrew Howard ACA Summer School 12 July 2007

BioCARS• Established around 1997 to do cutting-

edge crystallographic projects, particularly involving time-resolved techniques and BSL-2 or BSL-3 samples

Page 21: Collecting Macromolecular Crystallographic Data at Synchrotrons Andrew Howard ACA Summer School 12 July 2007

SBC-CAT

• Oldest macromolecular crystallography facility at the APS

• 19-ID: more structures solved than any other beamline in the world

• Good for all sizes and resolutions